Deeksha Adil
5 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
Venues
Top co-authors
Research topics
Keywords
convex optimization
(3)
sample complexity
(2)
linear regression
(2)
logistic regression
(1)
covariate shift
(1)
distribution shift
(1)
geometric convergence
(1)
iteration complexity
(1)
prediction error
(1)
iteratively reweighted least square
(1)
proximal oracle
(1)
statistical query lower bound
(1)
p-norm regression
(1)
width reduction
(1)
quasi-self-concordant optimization
(1)
sparse recovery
(1)
accelerated rate
(1)
robust regression
(1)
domain adaptation
(1)
Papers
Convex optimization with p-norm oracles
ALT 2026
Efficient and Provable Algorithms for Covariate Shift
ALT 2026
On efficient robust regression with subquadratic samples
COLT 2026
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization
NeurIPS 2021
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
NeurIPS 2019